Triple
T27868079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosevelt Avenue (Flushing) |
E704410
|
entity |
| Predicate | hasTransitRole |
P147842
|
FINISHED |
| Object | access corridor to Flushing–Main Street transit hub |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: access corridor to Flushing–Main Street transit hub | Statement: [Roosevelt Avenue (Flushing), hasTransitRole, access corridor to Flushing–Main Street transit hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransitRole Context triple: [Roosevelt Avenue (Flushing), hasTransitRole, access corridor to Flushing–Main Street transit hub]
-
A.
hasTransitAccessTo
Indicates that one place or entity is reachable from another via public or shared transportation services.
-
B.
hasPublicTransitRole
Indicates that an entity holds a specific functional role or responsibility within a public transit system.
-
C.
hasTransitServiceType
Indicates that a transit service is associated with a specific type or category of service (e.g., bus, rail, express).
-
D.
hasIntermodalRole
chosen
Indicates that an entity plays a specific role or function within an intermodal (multi-mode) transportation or logistics context.
-
E.
hasPassengerRole
Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: April 27, 2026, 6:22 p.m.